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Research Fellow in Computational Psychiatry


Job details
  • University College London
  • London
  • 1 week ago

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.Ref NumberB02-07912

Professional ExpertiseResearch and Research Support

DepartmentSchool of Life & Medical Sciences (B02)

LocationLondon

Working PatternFull time

Salary£43,124–£51,610

Contract TypePermanent

Working TypeOn site

Available for SecondmentNo

Closing Date15-Dec-2024

About usThe Max Planck UCL Centre for Computational Psychiatry and Ageing Research (MPC) is dedicated to studying the causes of psychiatric disorders. The overarching goal of the MPC is to understand the cognitive and neural underpinnings of neuropsychiatric disorders. Our findings will provide information on how cognitive functioning can be maintained into old age and on how neuropsychiatric disorders can be better recognised and treated more efficiently. Computational models of differences and changes in brain-behaviour relations are the Centre’s major theoretical tool, coupled with use of imaging modalities, including MEG and EEG.

About the roleWe are looking for a Research Fellow to undertake high quality research in the field of cognitive neuroscience under the supervision of Professor Ray Dolan, in collaboration with Dr Marc Busche and Professor Gareth Barnes. The research will focus on detecting early neural biomarkers of neurodegenerative disease using non-invasive neuroimaging techniques including MEG and Optically Pumped Magnetometers (OPMs). The post is part of a recently announced quantum hub, Q-BIOMED, which aims to exploit advances in quantum sensors for diagnosis, funded by UKRI Engineering and Physical Sciences Research Council (EPSRC).

This is a great opportunity for innovative input, including developing independent lines of research. You will be expected to exploit computational approaches to brain function (for example, through use of magnetoencephalography) and behaviour to leverage insights into how early phases of neurodegenerative disease impact upon cognition. The post offers opportunities for the successful candidate to innovate and develop novel lines of research.

The post is available immediately and is funded for two years in the first instance with the possibility of extension to three years.

If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team ().

Informal enquiries regarding the role can be addressed to Professor Ray Dolan ().

The advert will close on 15 December 2024 at 23:59 GMT, however early expression of interest is recommended as we will be reviewing applications at regular intervals.

We expect to hold interviews on or around 10 January 2025.

A full job description and person specification for this role can be accessed below.

About youYou’ll have a PhD in computational neuroscience, psychology, cognitive neuroscience, or a related area, as well as experience of conducting neuroscience research and a good publication record of high-quality research results commensurate with your career stage. Experience in conducting neuroimaging using MEG/EEG, and data collection and analysis, coupled with good communication, interpersonal, and problem-solving skills are essential for this role.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

What we offerAppointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary £38,357 - £41,005 per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis.

As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:

41 Days holiday (27 days annual leave, 8 bank holiday and 6 closure days)

Additional 5 days’ annual leave purchase scheme

Defined benefit career average revalued earnings pension scheme (CARE)

Cycle to work scheme and season ticket loan

Immigration loan

On-site nursery

On-site gym

Enhanced maternity, paternity and adoption pay

Employee assistance programme: Staff Support Service

Discounted medical insurance

Visithttps://www.ucl.ac.uk/work-at-ucl/reward-and-benefitsto find out more.

We will consider applications to work on a part-time, flexible, and job share basis wherever possible.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff.

Our commitment to Equality, Diversity and InclusionThe Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.

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Research Fellow in Computational Psychiatry

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.Ref NumberB02-07912Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalary£43,124–£51,610Contract TypePermanentWorking TypeOn siteAvailable for SecondmentNoClosing Date15-Dec-2024About usThe Max Planck UCL Centre for Computational...

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